Detection of acetylene (C2H2) gas using Ag-modified ZnO/GO nanorods prepared by a hydrothermal synthesis

Kamble, Chetan; Narwade, Sandesh; Mane, Rajaram S.

doi:10.1016/j.mssp.2022.107145

Cited by 8 publications

(7 citation statements)

References 44 publications

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“…The hydrothermal method is usually performed to grow ZnO NRs in an autoclave, from a water-based solution at specific conditions of high pressure and temperature. A previously deposited SL on the substrate induces the formation and the growth of NRs with a specific morphology [ 94 , 102 , 103 , 104 ].…”

Section: Preparation Methods Of Zno Filmsmentioning

confidence: 99%

Various Applications of ZnO Thin Films Obtained by Chemical Routes in the Last Decade

et al. 2023

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This review addresses the importance of Zn for obtaining multifunctional materials with interesting properties by following certain preparation strategies: choosing the appropriate synthesis route, doping and co-doping of ZnO films to achieve conductive oxide materials with p- or n-type conductivity, and finally adding polymers in the oxide systems for piezoelectricity enhancement. We mainly followed the results of studies of the last ten years through chemical routes, especially by sol-gel and hydrothermal synthesis. Zinc is an essential element that has a special importance for developing multifunctional materials with various applications. ZnO can be used for the deposition of thin films or for obtaining mixed layers by combining ZnO with other oxides (ZnO-SnO2, ZnO-CuO). Also, composite films can be achieved by mixing ZnO with polymers. It can be doped with metals (Li, Na, Mg, Al) or non-metals (B, N, P). Zn is easily incorporated in a matrix and therefore it can be used as a dopant for other oxidic materials, such as: ITO, CuO, BiFeO3, and NiO. ZnO can be very useful as a seed layer, for good adherence of the main layer to the substrate, generating nucleation sites for nanowires growth. Thanks to its interesting properties, ZnO is a material with multiple applications in various fields: sensing technology, piezoelectric devices, transparent conductive oxides, solar cells, and photoluminescence applications. Its versatility is the main message of this review.

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Section: Preparation Methods Of Zno Filmsmentioning

confidence: 99%

Various Applications of ZnO Thin Films Obtained by Chemical Routes in the Last Decade

et al. 2023

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“…In order to present the sensing data towards the NO2 gas, it is necessary to explain the relation between sensitivity (S) and resistance (R) of the sensor (nanocomposites) [16], when the flow rate of the gas was (80-100 ppm) that has been observed two different resistances when presence the gas and absence [19]. from that different we can get the sensitivity according to following relation [20]: S% = (R on-R off) / (R on) × 100 % ……… (1)…”

Section: Gas Sensing Datamentioning

confidence: 99%

Improving the Performance of Titanium Oxide Nanocomposites as NO2 Gas Sensors for Optimum Sensitivity

Nemea,

Al-Abdaly

2024

Iraqi Journal of Science

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In this study, we investigate the performance improvement of titanium oxide (TiO2) nanocomposites as NO2 gas sensors for optimum sensitivity. The TiO2 nanocomposites were synthesized using a solvothermal method and were modified with different dopants and additives to enhance their sensing properties. The sensing performance of the TiO2 nanocomposites was evaluated in terms of sensitivity, selectivity, response time, and recovery time. The synthesized nanocomposites were successfully characterized using AFM, FTIR, SEM-EDX and XRD techniques. The results showed that the addition of additives such as TiO2/GO, TiO2-Ag/GO and TiO2- Al2O3/GO: TiO2/GO significantly improved the sensing properties of the TiO2 nanocomposites. The Ag-doped TiO2 nanocomposites exhibited the highest sensitivity towards NO2 gas with a very low detection limit. The Al2O3-doped TiO2 nanocomposites showed good selectivity towards NO2 gas compared to other interfering gases and has led to increase in the surface area. In conclusion, the addition of additives and the optimization of the annealing temperature can significantly improve the sensing properties of TiO2 nanocomposites towards NO2 gas. The findings of this study can contribute to the development of highly sensitive and selective NO2 gas sensors for various applications such as environmental monitoring and industrial safety.

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“…In this study, ZnO (space group: P63mc) featuring a fibrillar zinc ore structure (Figure 1a) was selected, and the structures of gas molecules used in calculations are illustrated in Figure 1b. 9−11 These applications include monitoring food ripening or spoilage, such as acetylene (C 2 H 2 ), 12 environmental monitoring, such as indoor monitoring of formaldehyde (CH 2 O), 13,14 automotive emission control, industrial safety, such as carbon monoxide (CO) and other pollutant gases, and medical diagnostics, 15 electronic nose, and other fields. 16 Then, to predict the gas-sensitive properties of zinc oxide, the factors affecting its gas-sensitive properties were calculated by first-principles computation.…”

mentioning

confidence: 99%

“…Its exceptional properties, including a direct wide band gap and high exciton binding energy, make it highly promising for applications, such as photocatalysis, optoelectronic devices, and sensors. In this study, ZnO (space group: P63mc) featuring a fibrillar zinc ore structure (Figure a) was selected, and the structures of gas molecules used in calculations are illustrated in Figure b. − These applications include monitoring food ripening or spoilage, such as acetylene (C 2 H 2 ), environmental monitoring, such as indoor monitoring of formaldehyde (CH 2 O), , automotive emission control, industrial safety, such as carbon monoxide (CO) and other pollutant gases, and medical diagnostics, electronic nose, and other fields …”

mentioning

confidence: 99%

General Model for Predicting Response of Gas-Sensitive Materials to Target Gas Based on Machine Learning

Yang,

Sun,

Gao

et al. 2024

ACS Sens.

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Gas sensors play a crucial role in various industries and applications. In recent years, there has been an increasing demand for gas sensors in society. However, the current method for screening gas-sensitive materials is time-, energy-, and cost-consuming. Consequently, an imperative exists to enhance the screening efficiency. In this study, we proposed a collaborative screening strategy through integration of density functional theory and machine learning. Taking zinc oxide (ZnO) as an example, the responsiveness of ZnO to the target gas was determined quickly on the basis of the changes in the electronic state and structure before and after gas adsorption. In this work, the adsorption energy and electronic and structural characteristics of ZnO after adsorbing 24 kinds of gases were calculated. These computed features served as the basis for training a machine learning model. Subsequently, various machine learning and evaluation algorithms were utilized to train the fast screening model. The importance of feature values was evaluated by the AdaBoost, Random Forest, and Extra Trees models. Specifically, charge transfer was assigned importance values of 0.160, 0.127, and 0.122, respectively, ranking as the highest among the 11 features. Following closely was the d-band center, which was presumed to exert influence on electrical conductivity and, consequently, adsorption properties. With 5-fold cross-validation using the Extra Tree accuracy, the 24-sample data set achieved an accuracy of 88%. The 72-sample data set achieved an accuracy of 78% using multilayer perceptron after 5-fold cross-validation, with both data sets exhibiting low standard deviations. This verified the accuracy and reliability of the strategy, showcasing its potential for rapidly screening a material's responsiveness to the target gas.

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Detection of acetylene (C2H2) gas using Ag-modified ZnO/GO nanorods prepared by a hydrothermal synthesis

Cited by 8 publications

References 44 publications

Various Applications of ZnO Thin Films Obtained by Chemical Routes in the Last Decade

Various Applications of ZnO Thin Films Obtained by Chemical Routes in the Last Decade

Improving the Performance of Titanium Oxide Nanocomposites as NO2 Gas Sensors for Optimum Sensitivity

General Model for Predicting Response of Gas-Sensitive Materials to Target Gas Based on Machine Learning

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